This document discusses using Hadoop and other NoSQL databases like HDFS, Hive, Spark and Storm to collect, store, and analyze sensor data from devices in real-time. It provides an overview of collecting data using Flume, storing it in HDFS, and performing analysis on the data using tools like Hive, Pig, and Spark. It also discusses using cloud services from Amazon and Google with Hadoop and alternatives to Hadoop like Cassandra, MongoDB, Riak, Kafka and Storm.